Twitter_Scraping_and_Sentiment_Analysis_Demo.ipynb

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  "metadata": {
    "colab": {
      "name": "Twitter Scraping and Sentiment Analysis_Demo.ipynb",
      "provenance": [],
      "mount_file_id": "1USTn2kxrO-KNETM9kz227LZ58UmQUXL_",
      "authorship_tag": "ABX9TyM1+LM7Q/RZ3JcO7efSde05",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Tee-A/Twitter_Scraping_Using_SnScrape_and_Sentiment-Analysis_Demo/blob/main/Twitter_Scraping_and_Sentiment_Analysis_Demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A05zTwlqb12U"
      },
      "source": [
        "# Installing the Snscrape Library"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mEgkhcUuWZrv",
        "outputId": "15cc287a-7e68-4385-e47c-6b2d1b8fa8cb"
      },
      "source": [
        "!pip install snscrape"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: snscrape in /usr/local/lib/python3.7/dist-packages (0.3.4)\n",
            "Requirement already satisfied: lxml in /usr/local/lib/python3.7/dist-packages (from snscrape) (4.2.6)\n",
            "Requirement already satisfied: requests[socks] in /usr/local/lib/python3.7/dist-packages (from snscrape) (2.23.0)\n",
            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.7/dist-packages (from snscrape) (4.6.3)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests[socks]->snscrape) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests[socks]->snscrape) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests[socks]->snscrape) (2021.5.30)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests[socks]->snscrape) (3.0.4)\n",
            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.7/dist-packages (from requests[socks]->snscrape) (1.7.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZKauC8F5cLxv"
      },
      "source": [
        "# Importing the necessary Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q02DDyD_cFPK"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import itertools\n",
        "import snscrape.modules.twitter as sntwitter\n",
        "import plotly.graph_objects as go\n",
        "from datetime import datetime"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KvVQCt4bckkF",
        "outputId": "3914ced9-dd94-4e4c-bd44-31d025baec86"
      },
      "source": [
        "# Noting the time it takes to scrape 50000 tweets\n",
        "\n",
        "start_time = datetime.now()\n",
        "\n",
        "#Creating dataframe called 'data' and storing the tweets from May 1st 2021 to 30th Juy 2021 for 'Vaccine'\n",
        "tweets = pd.DataFrame(itertools.islice(sntwitter.TwitterSearchScraper('\"#vaccine since:2021-05-01 until:2021-07-30\"').get_items(),50000 ))\n",
        "\n",
        "end_time = datetime.now()\n",
        "\n",
        "# Printing the time taken to scrape these tweets\n",
        "print('Duuration: {} '.format(end_time - start_time))"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Duuration: 0:14:20.827540 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "id": "Wn7QY7Llgl60",
        "outputId": "4edafc69-7620-42a3-b7be-3e2f51818a3b"
      },
      "source": [
        "tweets.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>content</th>\n",
              "      <th>id</th>\n",
              "      <th>username</th>\n",
              "      <th>outlinks</th>\n",
              "      <th>outlinksss</th>\n",
              "      <th>tcooutlinks</th>\n",
              "      <th>tcooutlinksss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://twitter.com/datrufwilfreeu/status/1420...</td>\n",
              "      <td>2021-07-29 23:59:59+00:00</td>\n",
              "      <td>Act Now America: Say NO To Vaccine Passports h...</td>\n",
              "      <td>1420896922278240256</td>\n",
              "      <td>datrufwilfreeu</td>\n",
              "      <td>[https://standforhealthfreedom.com/action/say-...</td>\n",
              "      <td>https://standforhealthfreedom.com/action/say-n...</td>\n",
              "      <td>[https://t.co/elL62YMo7J]</td>\n",
              "      <td>https://t.co/elL62YMo7J</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://twitter.com/ignacio1981sala/status/142...</td>\n",
              "      <td>2021-07-29 23:59:59+00:00</td>\n",
              "      <td>So they are forcing my sister-in-law to take t...</td>\n",
              "      <td>1420896922181804032</td>\n",
              "      <td>ignacio1981sala</td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://twitter.com/Bdj68Brad/status/142089692...</td>\n",
              "      <td>2021-07-29 23:59:59+00:00</td>\n",
              "      <td>@DAVEWILLISON1 Medical autonomy is a right Dav...</td>\n",
              "      <td>1420896920453599234</td>\n",
              "      <td>Bdj68Brad</td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://twitter.com/DrSallan_/status/142089691...</td>\n",
              "      <td>2021-07-29 23:59:58+00:00</td>\n",
              "      <td>@_AlexHirsch The fact people are arguing under...</td>\n",
              "      <td>1420896917958057984</td>\n",
              "      <td>DrSallan_</td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "      <td>[]</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://twitter.com/einerdrake/status/14208969...</td>\n",
              "      <td>2021-07-29 23:59:58+00:00</td>\n",
              "      <td>Find out which vaccine is seeing the most brea...</td>\n",
              "      <td>1420896917316272130</td>\n",
              "      <td>einerdrake</td>\n",
              "      <td>[https://www.foxla.com/news/over-25-of-new-cov...</td>\n",
              "      <td>https://www.foxla.com/news/over-25-of-new-covi...</td>\n",
              "      <td>[https://t.co/prEPEBH9gV]</td>\n",
              "      <td>https://t.co/prEPEBH9gV</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 url  ...            tcooutlinksss\n",
              "0  https://twitter.com/datrufwilfreeu/status/1420...  ...  https://t.co/elL62YMo7J\n",
              "1  https://twitter.com/ignacio1981sala/status/142...  ...                         \n",
              "2  https://twitter.com/Bdj68Brad/status/142089692...  ...                         \n",
              "3  https://twitter.com/DrSallan_/status/142089691...  ...                         \n",
              "4  https://twitter.com/einerdrake/status/14208969...  ...  https://t.co/prEPEBH9gV\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nu7Y8dTojM_t",
        "outputId": "b40a397e-febc-411c-f001-8a778fea5b4e"
      },
      "source": [
        "tweets.shape, tweets.columns"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((50000, 9),\n",
              " Index(['url', 'date', 'content', 'id', 'username', 'outlinks', 'outlinksss',\n",
              "        'tcooutlinks', 'tcooutlinksss'],\n",
              "       dtype='object'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DfGsI8kQnBhM"
      },
      "source": [
        "#keeping only random 10000 records of date, id, content and user columns\n",
        "tweets_df = tweets[['date', 'id', 'content', 'username']].sample(frac = 0.2, random_state=4097).reset_index(drop=True)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-fPWgbiKoueb",
        "outputId": "34b616d0-c425-423d-ce27-c8fafe336324"
      },
      "source": [
        "tweets_df.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 4)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Iv8FFKweox-6",
        "outputId": "4af9025e-8c8a-492f-c33a-9ab30eba7f3f"
      },
      "source": [
        "tweets_df.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>id</th>\n",
              "      <th>content</th>\n",
              "      <th>username</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-07-29 20:19:36+00:00</td>\n",
              "      <td>1420841461155729410</td>\n",
              "      <td>@tezzaminds @GregHuntMP My impression of NSW i...</td>\n",
              "      <td>DarkMatterzine</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-07-29 23:15:27+00:00</td>\n",
              "      <td>1420885713009135625</td>\n",
              "      <td>@POTUS But didn’t you say people with the vacc...</td>\n",
              "      <td>Terry_Roades</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-07-29 23:00:17+00:00</td>\n",
              "      <td>1420881897572511747</td>\n",
              "      <td>@WaynesWhirled I've had covid and it was not a...</td>\n",
              "      <td>AmyBeePhoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-07-29 23:55:36+00:00</td>\n",
              "      <td>1420895817385263106</td>\n",
              "      <td>Joe and his minions used a false report coming...</td>\n",
              "      <td>SCWOFTX</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-07-29 22:06:55+00:00</td>\n",
              "      <td>1420868466672902146</td>\n",
              "      <td>This ‘personal responsibility’ rhetoric is giv...</td>\n",
              "      <td>DisabilityStor1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       date  ...         username\n",
              "0 2021-07-29 20:19:36+00:00  ...   DarkMatterzine\n",
              "1 2021-07-29 23:15:27+00:00  ...     Terry_Roades\n",
              "2 2021-07-29 23:00:17+00:00  ...    AmyBeePhoenix\n",
              "3 2021-07-29 23:55:36+00:00  ...          SCWOFTX\n",
              "4 2021-07-29 22:06:55+00:00  ...  DisabilityStor1\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iM0baYf5o0X0"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2KgwsnU5qKzg"
      },
      "source": [
        "# Now we would figure out the public sentiments towards the vaccine"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cZxUFIvLqKj4",
        "outputId": "865bf1b4-cc80-48d6-c26c-42a2551166b0"
      },
      "source": [
        "# We use a pre trained model from the Hugging Face Transformers Library to perform sentiment analysis\n",
        "# Installing the Library\n",
        "\n",
        "!pip install transformers"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.7/dist-packages (4.9.2)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from transformers) (21.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (1.19.5)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers) (4.6.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers) (3.0.12)\n",
            "Requirement already satisfied: tokenizers<0.11,>=0.10.1 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.10.3)\n",
            "Requirement already satisfied: huggingface-hub==0.0.12 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.0.12)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers) (4.41.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.7/dist-packages (from transformers) (5.4.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (2019.12.20)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers) (2.23.0)\n",
            "Requirement already satisfied: sacremoses in /usr/local/lib/python3.7/dist-packages (from transformers) (0.0.45)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from huggingface-hub==0.0.12->transformers) (3.7.4.3)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->transformers) (2.4.7)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers) (3.5.0)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2021.5.30)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.15.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.0.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0p1U4excreEw"
      },
      "source": [
        "## Sentiment Analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mXwTIC9EqvT9"
      },
      "source": [
        "#Importing pipeline from Transformers\n",
        "\n",
        "from transformers import pipeline\n",
        "sentiment_classifier = pipeline('sentiment-analysis')"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PZhWVH4Dsqp3"
      },
      "source": [
        "# Passing the tweets into the sentiment pipeline and extracting the sentiment score and label\n",
        "\n",
        "tweets_df = (tweets_df.assign(sentiment = lambda x: x['content'].apply(lambda s: sentiment_classifier(s)))\n",
        ".assign(label = lambda x: x['sentiment'].apply(lambda s: (s[0]['label'])),\n",
        "        score = lambda x: x['sentiment'].apply(lambda s: (s[0]['score']))\n",
        "        ))"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "JVx6NrzWurKY",
        "outputId": "70c98d10-e9d2-4be8-e4ca-f15279d7fec5"
      },
      "source": [
        "# Checking Top 20 of our new dataframe\n",
        "tweets_df.head(20)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>id</th>\n",
              "      <th>content</th>\n",
              "      <th>username</th>\n",
              "      <th>sentiment</th>\n",
              "      <th>label</th>\n",
              "      <th>score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-07-29 20:19:36+00:00</td>\n",
              "      <td>1420841461155729410</td>\n",
              "      <td>@tezzaminds @GregHuntMP My impression of NSW i...</td>\n",
              "      <td>DarkMatterzine</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.997952520847...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.997953</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-07-29 23:15:27+00:00</td>\n",
              "      <td>1420885713009135625</td>\n",
              "      <td>@POTUS But didn’t you say people with the vacc...</td>\n",
              "      <td>Terry_Roades</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.999254345893...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.999254</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-07-29 23:00:17+00:00</td>\n",
              "      <td>1420881897572511747</td>\n",
              "      <td>@WaynesWhirled I've had covid and it was not a...</td>\n",
              "      <td>AmyBeePhoenix</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.997293174266...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.997293</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-07-29 23:55:36+00:00</td>\n",
              "      <td>1420895817385263106</td>\n",
              "      <td>Joe and his minions used a false report coming...</td>\n",
              "      <td>SCWOFTX</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.999765217304...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.999765</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-07-29 22:06:55+00:00</td>\n",
              "      <td>1420868466672902146</td>\n",
              "      <td>This ‘personal responsibility’ rhetoric is giv...</td>\n",
              "      <td>DisabilityStor1</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.995846033096...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.995846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2021-07-29 22:29:05+00:00</td>\n",
              "      <td>1420874044442820613</td>\n",
              "      <td>@MikeTheTiger You should let the university le...</td>\n",
              "      <td>JsonCulverhouse</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.778448998928...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.778449</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2021-07-29 21:22:25+00:00</td>\n",
              "      <td>1420857265699966976</td>\n",
              "      <td>Me &amp;amp; @l0ve_live_TY really gonna have to ge...</td>\n",
              "      <td>_Katrionaaa</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.997768938541...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.997769</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2021-07-29 23:44:27+00:00</td>\n",
              "      <td>1420893010590535680</td>\n",
              "      <td>Vaccinated people. Even worse, the vaxxed are ...</td>\n",
              "      <td>johnflipside</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.998426556587...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.998427</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2021-07-29 23:44:11+00:00</td>\n",
              "      <td>1420892945440509954</td>\n",
              "      <td>These @GOP governors prohibiting masking and p...</td>\n",
              "      <td>sophiesmother95</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.997048377990...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.997048</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2021-07-29 22:02:34+00:00</td>\n",
              "      <td>1420867370386657280</td>\n",
              "      <td>@ChipMulligan930 @cnnbrk That's fine - I was s...</td>\n",
              "      <td>TaintedSaint2</td>\n",
              "      <td>[{'label': 'POSITIVE', 'score': 0.928253114223...</td>\n",
              "      <td>POSITIVE</td>\n",
              "      <td>0.928253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2021-07-29 23:29:07+00:00</td>\n",
              "      <td>1420889154091630594</td>\n",
              "      <td>@tedcruz I will never take your vaccine. \\n\\nA...</td>\n",
              "      <td>Skepticana</td>\n",
              "      <td>[{'label': 'POSITIVE', 'score': 0.536442220211...</td>\n",
              "      <td>POSITIVE</td>\n",
              "      <td>0.536442</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2021-07-29 21:11:23+00:00</td>\n",
              "      <td>1420854492153720837</td>\n",
              "      <td>Here’s the latest funny I just came across, Pa...</td>\n",
              "      <td>JJcccART</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.994541227817...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.994541</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2021-07-29 22:02:07+00:00</td>\n",
              "      <td>1420867259338305539</td>\n",
              "      <td>Nothing new here. Vaccines that save lives, of...</td>\n",
              "      <td>TheSecretSarah</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.996014237403...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.996014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2021-07-29 21:30:04+00:00</td>\n",
              "      <td>1420859191531433987</td>\n",
              "      <td>This your future?\\nVaccine mandates are unacce...</td>\n",
              "      <td>Act4Freedom2021</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.999333083629...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.999333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2021-07-29 23:11:17+00:00</td>\n",
              "      <td>1420884663850225666</td>\n",
              "      <td>Hop on the mobile vaccine bus for your first o...</td>\n",
              "      <td>Fraserhealth</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.999046444892...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.999046</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2021-07-29 20:48:33+00:00</td>\n",
              "      <td>1420848746846359554</td>\n",
              "      <td>@markghost45 I’m for it. Also vaccine passports.</td>\n",
              "      <td>CoraElyts</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.933084845542...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.933085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2021-07-29 21:41:19+00:00</td>\n",
              "      <td>1420862024356093960</td>\n",
              "      <td>@TheAnuhart @JamesSurowiecki Again, I understa...</td>\n",
              "      <td>ChewyYorkie</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.994220554828...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.994221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2021-07-29 22:53:02+00:00</td>\n",
              "      <td>1420880073209622533</td>\n",
              "      <td>\"He said the governor could promote the vaccin...</td>\n",
              "      <td>MPEriksen</td>\n",
              "      <td>[{'label': 'POSITIVE', 'score': 0.949296891689...</td>\n",
              "      <td>POSITIVE</td>\n",
              "      <td>0.949297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2021-07-29 22:31:01+00:00</td>\n",
              "      <td>1420874530201948162</td>\n",
              "      <td>@pamahra @DeleonSave @ProfessorPongo @RealCand...</td>\n",
              "      <td>DemocratsWar</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.995122790336...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.995123</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2021-07-29 21:30:52+00:00</td>\n",
              "      <td>1420859395458568193</td>\n",
              "      <td>WATCH: Man who was 'strongly against getting t...</td>\n",
              "      <td>TeeMichelle57</td>\n",
              "      <td>[{'label': 'NEGATIVE', 'score': 0.933298707008...</td>\n",
              "      <td>NEGATIVE</td>\n",
              "      <td>0.933299</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        date                   id  ...     label     score\n",
              "0  2021-07-29 20:19:36+00:00  1420841461155729410  ...  NEGATIVE  0.997953\n",
              "1  2021-07-29 23:15:27+00:00  1420885713009135625  ...  NEGATIVE  0.999254\n",
              "2  2021-07-29 23:00:17+00:00  1420881897572511747  ...  NEGATIVE  0.997293\n",
              "3  2021-07-29 23:55:36+00:00  1420895817385263106  ...  NEGATIVE  0.999765\n",
              "4  2021-07-29 22:06:55+00:00  1420868466672902146  ...  NEGATIVE  0.995846\n",
              "5  2021-07-29 22:29:05+00:00  1420874044442820613  ...  NEGATIVE  0.778449\n",
              "6  2021-07-29 21:22:25+00:00  1420857265699966976  ...  NEGATIVE  0.997769\n",
              "7  2021-07-29 23:44:27+00:00  1420893010590535680  ...  NEGATIVE  0.998427\n",
              "8  2021-07-29 23:44:11+00:00  1420892945440509954  ...  NEGATIVE  0.997048\n",
              "9  2021-07-29 22:02:34+00:00  1420867370386657280  ...  POSITIVE  0.928253\n",
              "10 2021-07-29 23:29:07+00:00  1420889154091630594  ...  POSITIVE  0.536442\n",
              "11 2021-07-29 21:11:23+00:00  1420854492153720837  ...  NEGATIVE  0.994541\n",
              "12 2021-07-29 22:02:07+00:00  1420867259338305539  ...  NEGATIVE  0.996014\n",
              "13 2021-07-29 21:30:04+00:00  1420859191531433987  ...  NEGATIVE  0.999333\n",
              "14 2021-07-29 23:11:17+00:00  1420884663850225666  ...  NEGATIVE  0.999046\n",
              "15 2021-07-29 20:48:33+00:00  1420848746846359554  ...  NEGATIVE  0.933085\n",
              "16 2021-07-29 21:41:19+00:00  1420862024356093960  ...  NEGATIVE  0.994221\n",
              "17 2021-07-29 22:53:02+00:00  1420880073209622533  ...  POSITIVE  0.949297\n",
              "18 2021-07-29 22:31:01+00:00  1420874530201948162  ...  NEGATIVE  0.995123\n",
              "19 2021-07-29 21:30:52+00:00  1420859395458568193  ...  NEGATIVE  0.933299\n",
              "\n",
              "[20 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5laTmYxlwcZN"
      },
      "source": [
        "# Checking the Tweets randomly & analyzing the sentiments"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "_hj37-hjwZHW",
        "outputId": "d05d5ebe-f952-4673-8a9d-db6ba9b6ecd4"
      },
      "source": [
        "# Checking the tweets randomly and analyizng the sentiments\n",
        "tweets_df['content'][16]"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'@TheAnuhart @JamesSurowiecki Again, I understand that, but when we are facing such a significant level of vaccine hesitancy, being prepared to address things like this that appear incongruent and misleading to those who are on the fence about the vaccine is more helpful than just handwaving it away.'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "5c9nR2CvxDwM",
        "outputId": "0e750916-0792-4ebc-f9c7-2ea6dab3dafc"
      },
      "source": [
        "tweets_df['content'][9]"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'@ChipMulligan930 @cnnbrk That\\'s fine - I was specifically told by my doctor NOT to get the vaccine at this point due to medical issues. My youngest had a severe reaction to the first one and can\\'t get the 2nd. You\\'re not going to \"force\" us to do a damn thing (and I probably cook better at home anyway).'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "XHykFrLLxHHx",
        "outputId": "cc46f0e9-790d-4919-84a1-30c8ff55ffca"
      },
      "source": [
        "tweets_df['content'][13]"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'This your future?\\nVaccine mandates are unacceptable. Contact your elected representatives now. Tweet. Tell your employer no. Do something!\\n#NoVaccineForMe #NoMoreMasks #NoMoreLockdowns #masksdontwork #FireFauci  #NoVaccinePassports #EndTheLockdowns #Trump #FoxNews #NoVaccineForMe https://t.co/12vWkiSd8s'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sZuBRXfPxN_z"
      },
      "source": [
        "## Visualizing the sentiments"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "yqeH_qM3xK93",
        "outputId": "ea685b1b-eb16-4b5e-d5ed-95494e5472e7"
      },
      "source": [
        "fig = go.Figure()\n",
        "\n",
        "fig.add_trace(go.Bar(x = tweets_df[\"score\"],\n",
        "                    y = tweets_df[\"label\"],\n",
        "                orientation = \"h\")) #set orientation to horizontal because we want to flip the x and y-axis\n",
        "\n",
        "fig.update_layout(plot_bgcolor = \"black\")              \n",
        "                                #apply our custom category order\n",
        "\n",
        "fig.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
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